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Introduction
  • Quiz2: Practice Exam - AWS Certified AI Practitioner
  • Question1:Which ML approach fine-tunes a pre-trained model for your data?
  • Question2: Which feature ensures throughput for fine-tuning?
  • Question 3: Most flexible Amazon Bedrock pricing model for usage?
  • Question 4: Best AWS service for AI chatbot with customization?
  • Question 5: What AWS service logs API calls for compliance needs?
  • Question 6: Reducing token costs for generative AI, what method?
  • Question 7: AWS feature to track and manage ML model versions?
  • Question 8: AWS service for real-time ML model predictions?
  • Question 9: Service to host large language models in AWS?
  • Question 10: AWS database service for similarity searches and vectors?
  • Question 11: AWS tool to convert thousands of PDFs to text files?
  • Question 12: AWS service to identify celebrities in a large image set?
  • Question 13: Feature to manage ML model cards and documentation?
  • Question 14: AWS tool for on-demand security and compliance reports?
  • Question 15: ML approach for transfer learning with small datasets?
  • Question 16: Amazon OpenSearch use case for AI and semantic search?
  • Question 17: Benefits of fine-tuning models on specific data tasks?
  • Question 18: SageMaker tool to automate and monitor ML processes?
  • Question 19: How to ensure fairness in model predictions on segments?
  • Question 20: AWS SageMaker feature to catalog and share models?
  • Question 21: Service for extracting text and images from documents?
  • Question 22: AWS service for celebrity identification in image datasets?
  • Question 23: AWS SageMaker tool for quick ML model deployment?
  • Question 24: Amazon Bedrock tool for automating multi-step tasks?
  • Question 25: AWS services for hosting and managing large AI models?
  • Question 26: Approach to optimize costs for generative AI model usage?
  • Question 27: AWS feature to enhance model version tracking and usage?
  • Question 28: AWS database service for embedding vectors and search?
  • Question 29: Which AWS inference method provides lowest latency?
  • Question 30: Service to integrate with SageMaker Ground Truth for labels?
  • Question 31: Techniques in Amazon Q's Business web application flow?
  • Question 32: Amazon Q Developer accessibility: IDEs or Console?